Ice cover thickness detection based on CEEMDAN-WOA-BILSTM

This paper proposes a transmission line ice cover thickness prediction model based on CEEMDAN-WOA-BILSTM.the bidirectional long and short-term memory network (BILSTM) is used to establish a prediction model to make use of the information provided by the past and future at each point in time in the process, and the WOA algorithm is added to carry out optimisation, avoiding falling into the local optimal solution as well as reducing the errors caused by human intervention, and improving the accuracy of the ice cover thickness detection. The accuracy of ice cover thickness detection is improved and the model is finally validated by experimental results.